RSCNet: An Efficient Remote Sensing Scene Classification Model Based on Lightweight Convolution Neural Networks

RSCNet: An Efficient Remote Sensing Scene Classification Model Based on Lightweight Convolution Neural Networks

This study aims at improving the efficiency of remote sensing scene classification (RSSC) through lightweight neural networks and to provide a possibility for large-scale, intelligent and real-time computation in performing RSSC for common devices. In this study, a lightweight RSSC model is proposed...

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Bibliographic Details
Main Authors: Zhichao Chen, Jie Yang, Zhicheng Feng, Lifang Chen
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Electronics
Subjects:
remote sensing
classification
lightweight neural networks
attention mechanism
artificial intelligence
transfer learning
Online Access:https://www.mdpi.com/2079-9292/11/22/3727

Internet

https://www.mdpi.com/2079-9292/11/22/3727

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